Monte Carlo

MARCH 28, 2023

Zero-ETL What it is : A misnomer for one thing; the data pipeline still exists. Today, data is often generated by a service and written into a transactional database. An automatic pipeline is deployed which not only moves the raw data to the analytical data warehouse, but modifies it slightly along the way.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

The Modern Data Company

MARCH 1, 2024

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

Database-centric 40

Database-centric Data Lake Government Retail 40

Data Engineering Weekly

JANUARY 15, 2023

SiliconANGLE theCUBE: Analyst Predictions 2023 - The Future of Data Management By far one of the best analyses of trends in Data Management. 2023 predictions from the panel are; Unified metadata becomes kingmaker. Pipelines for data in motion can quickly turn into DAG hell.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Towards Data Science

APRIL 3, 2023

Zero-ETL What it is : A misnomer for one thing; the data pipeline still exists. Today, data is often generated by a service and written into a transactional database. An automatic pipeline is deployed which not only moves the raw data to the analytical data warehouse, but modifies it slightly along the way.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81

Monte Carlo

JANUARY 4, 2024

Over the last two years, data contracts have become one of most talked about (and hotly debated ) topics in data engineering. And like any new — and admittedly abstract — concept, there are several different definitions of data contracts floating around on LinkedIn , Medium , and Substack. Enter data contracts.

Data 40

Data Metadata Software Engineer Software Engineering 40

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

JUNE 26, 2023

Data collection as the first step in the decision-making process, driven by machine learning. In machine learning projects, data collection precedes such stages as data cleaning and preprocessing, model training and testing, and making decisions based on a model’s output. Data engineering explained in 14 minutes.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Ascend.io

DECEMBER 11, 2023

What Is Data Orchestration? Data orchestration is the process of efficiently coordinating the movement and processing of data across multiple, disparate systems and services within a company. The goal is to minimize manual intervention and maximize the efficiency of data use.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

Airbnb Tech

JUNE 1, 2021

Because of this multi-year investment, when Airbnb’s business was severely disrupted by COVID-19 last year, we were able to quickly turn data into actionable insights and strategies. Anyone can look up definitions without confusion. Consistent : Data is always consistent. Declarative: Users define the “what” and not the “how”.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

Knowledge Hut

DECEMBER 29, 2023

The “head” tags (<head> and </head>) contain the metadata or information about the website. Not all of the metadata is visible on the website, some of them are information for the browsers. These frameworks would speed up the development process for you. Definitely!

Portfolio 98

Portfolio Amazon Web Services Programming Language Coding 98

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

dbt Developer Hub

DECEMBER 5, 2021

We’ve also included some sample raw data to add to your warehouse so you can run these projects yourself! In order to learn the basics, we’re going to port over the SQL file that powers our existing "patient_claim_summary" report that we use in our KPI dashboard in parallel to our old transformation process.

Project 52

Project Building Metadata BI 52

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. Architecture overview. Separate storage.

IT 93

IT Data Lake Data Warehouse Cloud Storage 93

AltexSoft

MAY 12, 2023

By understanding these aspects comprehensively, you can harness the true potential of unstructured data and transform it into a strategic asset. What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

JUNE 23, 2022

Volume has reigned supreme at the forefront of the data engineer’s psyche because, in the pre-Snowflake/AWS/Databricks era, the ability to store and process large volumes of data was seen as the primary architectural obstacle to business value.

Big Data 40

Big Data Management Machine Learning Data Warehouse 40

Rockset

SEPTEMBER 6, 2019

This raw data from the devices needs to be enriched with content metadata and geolocation information before it can be processed and analyzed. From a data engineering perspective, this is a classic scenario of clickstream data, with a VR headset instead of a mouse.

Metadata 40

Metadata Kafka Data Cleanse SQL 40

AltexSoft

MARCH 30, 2023

Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names. The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions.

Scala 64

Scala Data Lake BI Google Cloud 64

Rockset

JANUARY 28, 2020

Aside from video data from each camera-equipped store, Standard deals with other data sets such as transactional data, store inventory data that arrive in different formats from different retailers, and metadata derived from the extensive video captured by their cameras.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Learn How to Build a Data Warehouse for an E-commerce Business. What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Data Engineering Podcast

JANUARY 28, 2018

And what I did during my PhD, my research was focused on cell biology Gee, really, without getting into the weeds too much on that a lot of time microscopes collecting some kind of medium sized aging data. And so we are right now working with the developer community to formalize the technical process on the protocol through a working group.

Data 100

Data Project Electronics Data Management 100

Monte Carlo

JULY 30, 2020

It does not have the same emphasis on decentralization and domain driven architecture as data mesh. Instead of reinventing Zhamak’s very thoughtfully built wheel, we’ll boil down the definition of a data mesh to a few key concepts and highlight how it differs from traditional data architectures.

IT 45

IT Data Lake Business Intelligence Data Architecture 45

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40